Patents by Inventor Austin BLANTON

Austin BLANTON has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Vector-based face recognition algorithm and image search system
    Patent number: 9767348
    Abstract: Systems and methods for performing face recognition and image searching are provided. A system for face recognition and image searching includes an ingestion system, a search system, a user device, and a database of galley files that include feature vectors. The ingestion system crawls the internet starting with a seed URL to scrape image files and generate feature vectors. Feature vectors of images input by a user may be compared by the search system to feature vectors in the gallery files. A method for generating feature vectors includes landmark detection, component aligning, texture mapping, vector computation, comparing cluster centers defined by vectors stored in a database with vectors generated based on an input image, linear discriminant analysis, and principal component analysis.
    Type: Grant
    Filed: July 29, 2016
    Date of Patent: September 19, 2017
    Assignee: NOBLIS, INC.
    Inventors: Brendan Klare, Joshua Klontz, Austin Blanton
  • VECTOR-BASED FACE RECOGNITION ALGORITHM AND IMAGE SEARCH SYSTEM
    Publication number: 20160335482
    Abstract: Systems and methods for performing face recognition and image searching are provided. A system for face recognition and image searching includes an ingestion system, a search system, a user device, and a database of galley files that include feature vectors. The ingestion system crawls the internet starting with a seed URL to scrape image files and generate feature vectors. Feature vectors of images input by a user may be compared by the search system to feature vectors in the gallery files. A method for generating feature vectors includes landmark detection, component aligning, texture mapping, vector computation, comparing cluster centers defined by vectors stored in a database with vectors generated based on an input image, linear discriminant analysis, and principal component analysis.
    Type: Application
    Filed: July 29, 2016
    Publication date: November 17, 2016
    Applicant: NOBLIS, INC.
    Inventors: Brendan KLARE, Joshua KLONTZ, Austin BLANTON
  • Vector-based face recognition algorithm and image search system
    Patent number: 9405965
    Abstract: Systems and methods for performing face recognition and image searching are provided. A system for face recognition and image searching includes an ingestion system, a search system, a user device, and a database of galley files that include feature vectors. The ingestion system crawls the internet starting with a seed URL to scrape image files and generate feature vectors. Feature vectors of images input by a user may be compared by the search system to feature vectors in the gallery files. A method for generating feature vectors includes landmark detection, component aligning, texture mapping, vector computation, comparing cluster centers defined by vectors stored in a database with vectors generated based on an input image, linear discriminant analysis, and principal component analysis.
    Type: Grant
    Filed: March 9, 2015
    Date of Patent: August 2, 2016
    Assignee: Noblis, Inc.
    Inventors: Brendan Klare, Joshua Klontz, Austin Blanton
  • VECTOR-BASED FACE RECOGNITION ALGORITHM AND IMAGE SEARCH SYSTEM
    Publication number: 20160132720
    Abstract: Systems and methods for performing face recognition and image searching are provided. A system for face recognition and image searching includes an ingestion system, a search system, a user device, and a database of galley files that include feature vectors. The ingestion system crawls the internet starting with a seed URL to scrape image files and generate feature vectors. Feature vectors of images input by a user may be compared by the search system to feature vectors in the gallery files. A method for generating feature vectors includes landmark detection, component aligning, texture mapping, vector computation, comparing cluster centers defined by vectors stored in a database with vectors generated based on an input image, linear discriminant analysis, and principal component analysis.
    Type: Application
    Filed: March 9, 2015
    Publication date: May 12, 2016
    Applicant: NOBLIS, INC.
    Inventors: Brendan KLARE, Joshua KLONTZ, Austin BLANTON